6 Additional Resources for Data Visualization

6.1 General Data Visualization Materials

Fundamentals of Data Visualization: A textbook on dataviz methodology, covering topics outlined here in much greater detail
R Graph Gallery: Hundreds of example data visualization with tutorials on how to make them in R
R Graphics Cookbook: A textbook with detailed instructions for creating graphs in R.

Coloring in R’s blind spot: Tutorial introducing more than 100 palettes now included with base R, as well as functions for manipulating colors (used in multiple visualizations in this chapter)
ggnewscale: An intuitive method for incorporating multiple color scales in a single ggplot2 graphic (used in multiple visualizations in this chapter)
ggrepel: Tools for avoiding overlapping text labels in ggplot2 (used in multiple visualizations in this chapter)
gganimate: A principled approach to animating with ggplot2
ggiraph: Dynamic and interactive html graphics for ggplot2
ggforce: Various advanced shapes, lines, scales, and plot types for ggplot2
ggborderline Lines that pop in ggplot2 (used in multiple visualizations in this chapter)
rayshader: Cinematic 3D graphics for ggplot2

ggwordcloud: Word clouds
ggbeeswarm: Sina (AKA beeswarm) plots—almost always an improvement on box plots or violin plots
ggcorrplot: Correlation matrices
Different Ways of Plotting U.S. Map in R: A book chapter comparing eight different methods for plotting map data in R
ggridges: Ridgeline plots
ggnetwork: Network data
wormsplot: step charts with smooth transitions (in development by one of the authors of this book)

Additional ggplot2 extensions can be found here.